# A Gallery of Large Graphs

## graph visualization of matrices from the University of Florida Collection

Graph visualization is a way to discover and visualize structures in complex relations. What sort of structures are people who do large scale computation studying? We can get a glimpse by visualizing the thousands of sparse matrices submitted to the University of Florida Sparse Matrix collection using sfdp algorithm . The resulting gallery contains the drawing of graphs as represented by 2568 sparse matrices in this collection. Each of these sparse matrices (a rectangular matrix is treated as a bipartite graph) is viewed as the adjacency matrix of an undirected graph, and is laid out by a multilevel graph drawing algorithm. If the graph is disconnected, then the largest connected component is drawn. The largest graphs have tens of millions of nodes and over a billion of edges. A simple coloring scheme is used: longer edges are colored with colder colors, and short ones warmer. The graphs are in alphabetical order. Use the "Search" link to find graphs of specific characters.
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Pajek/GD01_c |
Pajek/GD02_a |
Pajek/GD02_b |
Pajek/GD06_Java |
Pajek/GD06_theory |

Pajek/GD95_a |
Pajek/GD95_b |
Pajek/GD95_c |
Pajek/GD96_a |
Pajek/GD96_b |

Pajek/GD96_c |
Pajek/GD96_d |
Pajek/GD97_a |
Pajek/GD97_b |
Pajek/GD97_c |

Pajek/GD98_a |
Pajek/GD98_b |
Pajek/GD98_c |
Pajek/GD99_b |
Pajek/GD99_c |

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